Surface Defect Detection Methods for Industrial Products: A Review
Applied Sciences, 2021 The comprehensive intelligent development of the manufacturing industry puts forward new requirements for the quality inspection of industrial products.
Yajun Chen +5 more
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YOLOv4-MN3 for PCB Surface Defect Detection
Applied Sciences, 2021 Surface defect detection for printed circuit board (PCB) is indispensable for managing PCB production quality. However, automatic detection of PCB surface defects is still a challenging task because, even within the same category of surface defect ...
Xinting Liao +5 more
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An improved lightweight YOLOv11 algorithm for weld surface defect detection [PDF]
Scientific ReportsIndustrial welding often exhibits some essential problems, such as unclear defect characteristics and complex background information. However, the existing defect detection models have relatively high costs and may be weak in weld surface defect ...
Runmei Zhang +5 more
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Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network
Sensors, 2020 Metallic surface defect detection is an essential and necessary process to control the qualities of industrial products. However, due to the limited data scale and defect categories, existing defect datasets are generally unavailable for the deployment ...
Xiaoming Lv +4 more
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Defect transformer: An efficient hybrid transformer architecture for surface defect detection
Measurement: Journal of the International Measurement Confederation, 2023 Surface defect detection is an extremely crucial step to ensure the quality of industrial products. Nowadays, convolutional neural networks (CNNs) based on encoder-decoder architecture have achieved tremendous success in various defect detection tasks.
Jinjin Wang, Fuju Yan, Guili Xu
exaly +3 more sources
RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8 [PDF]
SensorsSurface defect detection in chips is crucial for ensuring product quality and reliability. This paper addresses the challenge of low identification accuracy in chip surface defect detection, which arises from the similarity of defect characteristics ...
Wenjie Tang, Yangjun Deng, Xu Luo
doaj +2 more sources
Workpiece surface defect detection based on YOLOv11 and edge computing. [PDF]
PLoS ONEThe rapid development of modern industry has significantly raised the demand for workpieces. To ensure the quality of workpieces, workpiece surface defect detection has become an indispensable part of industrial production.
Zishuo Wang +4 more
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YOLOv8n-GSS-Based Surface Defect Detection Method of Bearing Ring [PDF]
SensorsIndustrial bearing surface defect detection faces challenges such as complex image backgrounds, multi-scale defects, and insufficient feature extraction.
Shijun Liang +4 more
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Lightweight Industrial Products Defect Detection Network Based on Attention [PDF]
Jisuanji gongcheng, 2023 The detection of surface defects in industry is of great significance in improving the quality of industrial products and maintaining production safety. As surface defects are complex, diverse, and of different shapes, higher requirements are put forward
Gang LI, Rui SHAO, Mingle ZHOU, Min LI, Honglin WAN
doaj +1 more source
A high-effective multitask surface defect detection method based on CBAM and atrous convolution
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022 Given the shortcomings of conventional machine vision-based surface defect detection methods, including their low accuracy, long development cycle, and poor generalization ability, this paper proposes a surface defect detection model based on the ...
Xin XIE +4 more
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